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Carl Mastrangelo deea51e609 Disable Huffman encoding for small headers (#9260)
Motivation:

Huffman coding saves only a little space, but has a huge CPU cost

Modification:

Disable huff coding for headers smaller than 512 bytes.  Also, add a
configurable limit to the encoder.

Result:

Faster HPACK

BEFORE:
```
Benchmark                     (duplicates)  (limitToAscii)  (sensitive)  (size)  Mode  Cnt       Score       Error  Units
HpackEncoderBenchmark.encode          true            true         true   SMALL  avgt   10    2572.595 ±    16.184  ns/op
HpackEncoderBenchmark.encode          true            true         true  MEDIUM  avgt   10   19580.815 ±   397.780  ns/op
HpackEncoderBenchmark.encode          true            true         true   LARGE  avgt   10  379456.381 ±  2059.919  ns/op
HpackEncoderBenchmark.encode          true            true        false   SMALL  avgt   10     730.579 ±     8.116  ns/op
HpackEncoderBenchmark.encode          true            true        false  MEDIUM  avgt   10    2087.590 ±    84.644  ns/op
HpackEncoderBenchmark.encode          true            true        false   LARGE  avgt   10   11725.228 ±    89.298  ns/op
HpackEncoderBenchmark.encode          true           false         true   SMALL  avgt   10     555.971 ±     5.120  ns/op
HpackEncoderBenchmark.encode          true           false         true  MEDIUM  avgt   10    2831.874 ±    41.801  ns/op
HpackEncoderBenchmark.encode          true           false         true   LARGE  avgt   10   36054.025 ±   179.504  ns/op
HpackEncoderBenchmark.encode          true           false        false   SMALL  avgt   10     340.337 ±     3.313  ns/op
HpackEncoderBenchmark.encode          true           false        false  MEDIUM  avgt   10    1006.817 ±     8.942  ns/op
HpackEncoderBenchmark.encode          true           false        false   LARGE  avgt   10    8784.168 ±   164.014  ns/op
HpackEncoderBenchmark.encode         false            true         true   SMALL  avgt   10    2561.934 ±    27.056  ns/op
HpackEncoderBenchmark.encode         false            true         true  MEDIUM  avgt   10   22061.105 ±   154.533  ns/op
HpackEncoderBenchmark.encode         false            true         true   LARGE  avgt   10  435744.897 ±  8853.388  ns/op
HpackEncoderBenchmark.encode         false            true        false   SMALL  avgt   10    2737.683 ±    47.142  ns/op
HpackEncoderBenchmark.encode         false            true        false  MEDIUM  avgt   10   22385.146 ±    98.430  ns/op
HpackEncoderBenchmark.encode         false            true        false   LARGE  avgt   10  408159.698 ± 12044.931  ns/op
HpackEncoderBenchmark.encode         false           false         true   SMALL  avgt   10     544.213 ±     3.279  ns/op
HpackEncoderBenchmark.encode         false           false         true  MEDIUM  avgt   10    2908.978 ±    31.026  ns/op
HpackEncoderBenchmark.encode         false           false         true   LARGE  avgt   10   36471.262 ±  1044.010  ns/op
HpackEncoderBenchmark.encode         false           false        false   SMALL  avgt   10     609.305 ±     4.371  ns/op
HpackEncoderBenchmark.encode         false           false        false  MEDIUM  avgt   10    3223.946 ±    23.505  ns/op
HpackEncoderBenchmark.encode         false           false        false   LARGE  avgt   10   39975.152 ±   655.196  ns/op
```

AFTER:
```
NEW AFTER

Benchmark                     (duplicates)  (limitToAscii)  (sensitive)  (size)  Mode  Cnt     Score     Error  Units
HpackEncoderBenchmark.encode          true            true         true   SMALL  avgt    5   379.473 ± 133.815  ns/op
HpackEncoderBenchmark.encode          true            true         true  MEDIUM  avgt    5  1118.772 ±  89.258  ns/op
HpackEncoderBenchmark.encode          true            true         true   LARGE  avgt    5  5366.828 ±  89.746  ns/op
HpackEncoderBenchmark.encode          true            true        false   SMALL  avgt    5   284.401 ±   2.088  ns/op
HpackEncoderBenchmark.encode          true            true        false  MEDIUM  avgt    5   922.805 ±  10.796  ns/op
HpackEncoderBenchmark.encode          true            true        false   LARGE  avgt    5  8727.831 ± 462.138  ns/op
HpackEncoderBenchmark.encode          true           false         true   SMALL  avgt    5   337.093 ±  22.585  ns/op
HpackEncoderBenchmark.encode          true           false         true  MEDIUM  avgt    5   693.689 ±  16.351  ns/op
HpackEncoderBenchmark.encode          true           false         true   LARGE  avgt    5  5616.786 ±  98.647  ns/op
HpackEncoderBenchmark.encode          true           false        false   SMALL  avgt    5   286.708 ±  13.765  ns/op
HpackEncoderBenchmark.encode          true           false        false  MEDIUM  avgt    5   906.279 ±  32.338  ns/op
HpackEncoderBenchmark.encode          true           false        false   LARGE  avgt    5  8304.736 ± 128.584  ns/op
HpackEncoderBenchmark.encode         false            true         true   SMALL  avgt    5   351.381 ±  15.547  ns/op
HpackEncoderBenchmark.encode         false            true         true  MEDIUM  avgt    5  1188.166 ±   7.023  ns/op
HpackEncoderBenchmark.encode         false            true         true   LARGE  avgt    5  6876.009 ±  48.117  ns/op
HpackEncoderBenchmark.encode         false            true        false   SMALL  avgt    5   434.759 ±   8.619  ns/op
HpackEncoderBenchmark.encode         false            true        false  MEDIUM  avgt    5   954.588 ±  58.514  ns/op
HpackEncoderBenchmark.encode         false            true        false   LARGE  avgt    5  8534.017 ± 552.597  ns/op
HpackEncoderBenchmark.encode         false           false         true   SMALL  avgt    5   223.713 ±   4.823  ns/op
HpackEncoderBenchmark.encode         false           false         true  MEDIUM  avgt    5  1181.538 ±  11.851  ns/op
HpackEncoderBenchmark.encode         false           false         true   LARGE  avgt    5  6670.830 ± 267.927  ns/op
HpackEncoderBenchmark.encode         false           false        false   SMALL  avgt    5   424.609 ±  27.477  ns/op
HpackEncoderBenchmark.encode         false           false        false  MEDIUM  avgt    5  1003.578 ±  53.991  ns/op
HpackEncoderBenchmark.encode         false           false        false   LARGE  avgt    5  8428.932 ± 102.838  ns/op
```
2019-07-01 21:00:20 +02:00
.github Use GitHub Issue/PR Template Feature 2016-12-07 11:40:26 -08:00
.mvn support publishing snapshots from docker based ci (#8634) 2018-12-07 05:43:06 +01:00
all [maven-release-plugin] prepare for next development iteration 2019-06-28 05:57:21 +00:00
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buffer Correctly take length of ByteBufInputStream into account for readLine… (#9310) 2019-07-01 20:55:23 +02:00
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codec-http2 Disable Huffman encoding for small headers (#9260) 2019-07-01 21:00:20 +02:00
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transport #7285 Improved "Discarded inbound message" warning (#9286) 2019-07-01 20:38:58 +02:00
transport-native-epoll Unconditionally initialize sockaddrs in epoll linuxsocket (#9299) 2019-06-29 12:16:58 +02:00
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Netty Project

Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients.

How to build

For the detailed information about building and developing Netty, please visit the developer guide. This page only gives very basic information.

You require the following to build Netty:

Note that this is build-time requirement. JDK 5 (for 3.x) or 6 (for 4.0+) is enough to run your Netty-based application.

Branches to look

Development of all versions takes place in each branch whose name is identical to <majorVersion>.<minorVersion>. For example, the development of 3.9 and 4.0 resides in the branch '3.9' and the branch '4.0' respectively.

Usage with JDK 9

Netty can be used in modular JDK9 applications as a collection of automatic modules. The module names follow the reverse-DNS style, and are derived from subproject names rather than root packages due to historical reasons. They are listed below:

  • io.netty.all
  • io.netty.buffer
  • io.netty.codec
  • io.netty.codec.dns
  • io.netty.codec.haproxy
  • io.netty.codec.http
  • io.netty.codec.http2
  • io.netty.codec.memcache
  • io.netty.codec.mqtt
  • io.netty.codec.redis
  • io.netty.codec.smtp
  • io.netty.codec.socks
  • io.netty.codec.stomp
  • io.netty.codec.xml
  • io.netty.common
  • io.netty.handler
  • io.netty.handler.proxy
  • io.netty.resolver
  • io.netty.resolver.dns
  • io.netty.transport
  • io.netty.transport.epoll (native omitted - reserved keyword in Java)
  • io.netty.transport.kqueue (native omitted - reserved keyword in Java)
  • io.netty.transport.unix.common (native omitted - reserved keyword in Java)
  • io.netty.transport.rxtx
  • io.netty.transport.sctp
  • io.netty.transport.udt

Automatic modules do not provide any means to declare dependencies, so you need to list each used module separately in your module-info file.